WizWhisp is described as 'Offline audio and video transcription app for Windows 10/11 using Whisper AI, free unlimited use, drag-and-drop interface, supports 90+ languages, and GPU acceleration' and is a audio transcription tool in the audio & music category. There are more than 10 alternatives to WizWhisp for a variety of platforms, including Mac, Linux, Windows, Web-based and Self-Hosted apps. The best WizWhisp alternative is Handy STT, which is both free and Open Source. Other great apps like WizWhisp are Vibe Transcribe, Voxtral, FUTO Voice Input and OpenWispr.
Free open source speech-to-text app for desktop runs fully offline, keeping transcription and audio data private. Extensible and customizable, supports accessibility, cross-platform use, and community-driven modifications. No subscriptions or internet requirement.
Delivers offline transcription of audio and video using local AI for privacy, supports batch processing, multi-language input, real-time preview, multi-format export, English translation, direct printing, system audio, microphone input, CLI, and setup customization on Windows, Linux, or macOS.
Advanced audio models for transcription, translation, and understanding, optimized for production and edge deployment, API accessible, open-source with Apache 2.0, delivering high accuracy, resource efficiency, and support for both large-scale and local use cases.
FUTO Voice Input is an application that lets you do speech-to-text on Android, integrating with third party keyboards or apps that use the generic speech-to-text APIs.
Transforms spoken language into text using Whisper, supporting local and cloud AI, instant transcription, custom dictionaries, auto-paste, privacy-first local processing, cross-platform compatibility, Pro and free tiers, detailed history, and advanced customization options.
Voice recognition software offering real-time transcription across any Mac app, instant customizable shortcuts, support for diverse accents, visual cues, privacy-focused with no hidden data collection, reduces manual typing, fully integrates for note taking, chat, or drafting.
An open-source, end-to-end speech recognition system trained on 680,000 hours of diverse audio, providing multilingual transcription, to-English translation, language identification, phrase-level timestamps, and high performance in real-world scenarios using transformer architecture.
Local macOS solution for fast AI-powered transcription and translation of audio or video in over 100 languages, featuring speaker diarization, batch processing, GPU acceleration, file-type flexibility, drag-and-drop support, advanced editing, and secure privacy.
Fully offline speech-to-text for macOS, prioritizing privacy by processing all transcriptions on device, optimized for Apple Silicon, lightweight at under 200MB RAM, compatible with any app, efficient in the background, with no recurring subscription, and fast model setup.
Processes voice-to-text instantly on Mac with privacy-first local AI, zero delay, no subscriptions, open-source code, optional context-enhanced transcription, direct input into any app, hardware-optimized performance, and full offline control.
Optimized for edge hardware, this open-source tool provides fast, private on-device speech recognition for real-time transcription, command and speaker identification, lower word-error rates than Whisper models, and multi-language support over varied platforms.
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